Canadian Dollar CAD 2016 Conversion Rates

  • Opening Value is 1.387153 CAD per Dollar
  • Closing Value is 1.342804 CAD per Dollar
  • Change in Value during 2016 is -0.0443 which is -3.20%
  • Best Performance is on 2016-05-02 with 1.253348 CAD per Dollar
  • Lowest Performance is on 2016-01-17 with 1.457173 CAD per Dollar
  • Average Value is 1.3252 CAD per Dollar
  • Swing Between the higest and the lowest is 0.2038 per Dollar, that is 14.69% compared to the opening value.

USD to CAD Conversion Rates – 12 months

Date 1 USD =
2016-12-31 1.3428 CAD
2016-11-30 1.3427 CAD
2016-10-31 1.3417 CAD
2016-09-30 1.3125 CAD
2016-08-31 1.3110 CAD
2016-07-31 1.3059 CAD
2016-06-30 1.2958 CAD
2016-05-31 1.3081 CAD
2016-04-30 1.2550 CAD
2016-03-31 1.2992 CAD
2016-02-29 1.3533 CAD
2016-01-31 1.3980 CAD
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),1.343,1.34],[new Date(“2016-11-30”),1.343,1.34],[new Date(“2016-10-31”),1.342,1.34],[new Date(“2016-09-30”),1.313,1.31],[new Date(“2016-08-31”),1.311,1.31],[new Date(“2016-07-31”),1.306,1.31],[new Date(“2016-06-30”),1.296,1.30],[new Date(“2016-05-31”),1.308,1.31],[new Date(“2016-04-30”),1.255,1.26],[new Date(“2016-03-31”),1.299,1.30],[new Date(“2016-02-29”),1.353,1.35],[new Date(“2016-01-31”),1.398,1.40],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      1.3308
02      1.3290
↗0.002, 0.13%
03      1.3290
→0.000, 0.00%
04      1.3319
↘0.003, 0.22%
05      1.3274
↗0.005, 0.34%
06      1.3276
↘0.000, 0.02%
07      1.3226
↗0.005, 0.37%
08      1.3197
↗0.003, 0.22%
09      1.3174
↗0.002, 0.17%
10      1.3174
→0.000, 0.00%
11      1.3129
↗0.005, 0.34%
12      1.3127
↗0.000, 0.02%
13      1.3135
↘0.001, 0.06%
14      1.3286
↘0.015, 1.15%
15      1.3334
↘0.005, 0.36%
16      1.3330
↗0.000, 0.02%
17      1.3330
→0.000, 0.00%
18      1.3339
↘0.001, 0.07%
19      1.3403
↘0.006, 0.48%
20      1.3372
↗0.003, 0.23%
21      1.3432
↘0.006, 0.45%
22      1.3482
↘0.005, 0.37%
23      1.3531
↘0.005, 0.36%
24      1.3531
→0.000, 0.00%
25      1.3520
↗0.001, 0.08%
26      1.3524
↘0.000, 0.03%
27      1.3576
↘0.005, 0.38%
28      1.3552
↗0.002, 0.18%
29      1.3476
↗0.008, 0.56%
30      1.3428
↗0.005, 0.36%
31      1.3428
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),1.331,1.33],[new Date(“2016-12-02”),1.329,1.33],[new Date(“2016-12-03”),1.329,1.33],[new Date(“2016-12-04”),1.332,1.33],[new Date(“2016-12-05”),1.327,1.33],[new Date(“2016-12-06”),1.328,1.33],[new Date(“2016-12-07”),1.323,1.32],[new Date(“2016-12-08”),1.320,1.32],[new Date(“2016-12-09”),1.317,1.32],[new Date(“2016-12-10”),1.317,1.32],[new Date(“2016-12-11”),1.313,1.31],[new Date(“2016-12-12”),1.313,1.31],[new Date(“2016-12-13”),1.314,1.31],[new Date(“2016-12-14”),1.329,1.33],[new Date(“2016-12-15”),1.333,1.33],[new Date(“2016-12-16”),1.333,1.33],[new Date(“2016-12-17”),1.333,1.33],[new Date(“2016-12-18”),1.334,1.33],[new Date(“2016-12-19”),1.340,1.34],[new Date(“2016-12-20”),1.337,1.34],[new Date(“2016-12-21”),1.343,1.34],[new Date(“2016-12-22”),1.348,1.35],[new Date(“2016-12-23”),1.353,1.35],[new Date(“2016-12-24”),1.353,1.35],[new Date(“2016-12-25”),1.352,1.35],[new Date(“2016-12-26”),1.352,1.35],[new Date(“2016-12-27”),1.358,1.36],[new Date(“2016-12-28”),1.355,1.36],[new Date(“2016-12-29”),1.348,1.35],[new Date(“2016-12-30”),1.343,1.34],[new Date(“2016-12-31″),1.343,1.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      1.3390
02      1.3395
↘0.000, 0.04%
03      1.3394
↗0.000, 0.01%
04      1.3399
↘0.001, 0.04%
05      1.3399
→0.000, 0.00%
06      1.3358
↗0.004, 0.31%
07      1.3374
↘0.002, 0.12%
08      1.3296
↗0.008, 0.59%
09      1.3412
↘0.012, 0.88%
10      1.3468
↘0.006, 0.42%
11      1.3542
↘0.007, 0.55%
12      1.3542
→0.000, 0.00%
13      1.3525
↗0.002, 0.13%
14      1.3539
↘0.001, 0.10%
15      1.3457
↗0.008, 0.60%
16      1.3427
↗0.003, 0.22%
17      1.3535
↘0.011, 0.80%
18      1.3505
↗0.003, 0.22%
19      1.3505
→0.000, 0.00%
20      1.3511
↘0.001, 0.04%
21      1.3410
↗0.010, 0.75%
22      1.3432
↘0.002, 0.17%
23      1.3502
↘0.007, 0.52%
24      1.3491
↗0.001, 0.08%
25      1.3516
↘0.002, 0.18%
26      1.3516
→0.000, 0.00%
27      1.3517
↘0.000, 0.01%
28      1.3404
↗0.011, 0.84%
29      1.3431
↘0.003, 0.21%
30      1.3427
↗0.000, 0.03%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),1.339,1.34],[new Date(“2016-11-02”),1.339,1.34],[new Date(“2016-11-03”),1.339,1.34],[new Date(“2016-11-04”),1.340,1.34],[new Date(“2016-11-05”),1.340,1.34],[new Date(“2016-11-06”),1.336,1.34],[new Date(“2016-11-07”),1.337,1.34],[new Date(“2016-11-08”),1.330,1.33],[new Date(“2016-11-09”),1.341,1.34],[new Date(“2016-11-10”),1.347,1.35],[new Date(“2016-11-11”),1.354,1.35],[new Date(“2016-11-12”),1.354,1.35],[new Date(“2016-11-13”),1.352,1.35],[new Date(“2016-11-14”),1.354,1.35],[new Date(“2016-11-15”),1.346,1.35],[new Date(“2016-11-16”),1.343,1.34],[new Date(“2016-11-17”),1.353,1.35],[new Date(“2016-11-18”),1.351,1.35],[new Date(“2016-11-19”),1.351,1.35],[new Date(“2016-11-20”),1.351,1.35],[new Date(“2016-11-21”),1.341,1.34],[new Date(“2016-11-22”),1.343,1.34],[new Date(“2016-11-23”),1.350,1.35],[new Date(“2016-11-24”),1.349,1.35],[new Date(“2016-11-25”),1.352,1.35],[new Date(“2016-11-26”),1.352,1.35],[new Date(“2016-11-27”),1.352,1.35],[new Date(“2016-11-28”),1.340,1.34],[new Date(“2016-11-29”),1.343,1.34],[new Date(“2016-11-30″),1.343,1.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      1.3125
02      1.3135
↘0.001, 0.08%
03      1.3117
↗0.002, 0.14%
04      1.3198
↘0.008, 0.62%
05      1.3173
↗0.002, 0.18%
06      1.3223
↘0.005, 0.37%
07      1.3292
↘0.007, 0.52%
08      1.3292
→0.000, 0.00%
09      1.3255
↗0.004, 0.28%
10      1.3169
↗0.009, 0.65%
11      1.3230
↘0.006, 0.46%
12      1.3277
↘0.005, 0.36%
13      1.3203
↗0.007, 0.56%
14      1.3145
↗0.006, 0.44%
15      1.3145
→0.000, 0.00%
16      1.3142
↗0.000, 0.03%
17      1.3122
↗0.002, 0.15%
18      1.3108
↗0.001, 0.11%
19      1.3133
↘0.003, 0.20%
20      1.3227
↘0.009, 0.71%
21      1.3331
↘0.010, 0.79%
22      1.3331
→0.000, 0.00%
23      1.3353
↘0.002, 0.17%
24      1.3351
↗0.000, 0.02%
25      1.3353
↘0.000, 0.01%
26      1.3374
↘0.002, 0.16%
27      1.3388
↘0.001, 0.10%
28      1.3380
↗0.001, 0.05%
29      1.3380
→0.000, 0.00%
30      1.3402
↘0.002, 0.16%
31      1.3417
↘0.002, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),1.313,1.31],[new Date(“2016-10-02”),1.314,1.31],[new Date(“2016-10-03”),1.312,1.31],[new Date(“2016-10-04”),1.320,1.32],[new Date(“2016-10-05”),1.317,1.32],[new Date(“2016-10-06”),1.322,1.32],[new Date(“2016-10-07”),1.329,1.33],[new Date(“2016-10-08”),1.329,1.33],[new Date(“2016-10-09”),1.325,1.33],[new Date(“2016-10-10”),1.317,1.32],[new Date(“2016-10-11”),1.323,1.32],[new Date(“2016-10-12”),1.328,1.33],[new Date(“2016-10-13”),1.320,1.32],[new Date(“2016-10-14”),1.315,1.31],[new Date(“2016-10-15”),1.315,1.31],[new Date(“2016-10-16”),1.314,1.31],[new Date(“2016-10-17”),1.312,1.31],[new Date(“2016-10-18”),1.311,1.31],[new Date(“2016-10-19”),1.313,1.31],[new Date(“2016-10-20”),1.323,1.32],[new Date(“2016-10-21”),1.333,1.33],[new Date(“2016-10-22”),1.333,1.33],[new Date(“2016-10-23”),1.335,1.34],[new Date(“2016-10-24”),1.335,1.34],[new Date(“2016-10-25”),1.335,1.34],[new Date(“2016-10-26”),1.337,1.34],[new Date(“2016-10-27”),1.339,1.34],[new Date(“2016-10-28”),1.338,1.34],[new Date(“2016-10-29”),1.338,1.34],[new Date(“2016-10-30”),1.340,1.34],[new Date(“2016-10-31″),1.342,1.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2016

01      1.3094
02      1.2987
↗0.011, 0.81%
03      1.2987
→0.000, 0.00%
04      1.2993
↘0.001, 0.05%
05      1.2928
↗0.006, 0.50%
06      1.2846
↗0.008, 0.64%
07      1.2882
↘0.004, 0.28%
08      1.2923
↘0.004, 0.31%
09      1.3037
↘0.011, 0.89%
10      1.3037
→0.000, 0.00%
11      1.3049
↘0.001, 0.09%
12      1.3030
↗0.002, 0.14%
13      1.3158
↘0.013, 0.98%
14      1.3195
↘0.004, 0.28%
15      1.3159
↗0.004, 0.28%
16      1.3208
↘0.005, 0.37%
17      1.3208
→0.000, 0.00%
18      1.3200
↗0.001, 0.06%
19      1.3202
↘0.000, 0.01%
20      1.3183
↗0.002, 0.15%
21      1.3084
↗0.010, 0.75%
22      1.3047
↗0.004, 0.28%
23      1.3162
↘0.012, 0.88%
24      1.3162
→0.000, 0.00%
25      1.3150
↗0.001, 0.09%
26      1.3230
↘0.008, 0.60%
27      1.3204
↗0.003, 0.19%
28      1.3063
↗0.014, 1.07%
29      1.3152
↘0.009, 0.68%
30      1.3125
↗0.003, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),1.309,1.31],[new Date(“2016-09-02”),1.299,1.30],[new Date(“2016-09-03”),1.299,1.30],[new Date(“2016-09-04”),1.299,1.30],[new Date(“2016-09-05”),1.293,1.29],[new Date(“2016-09-06”),1.285,1.28],[new Date(“2016-09-07”),1.288,1.29],[new Date(“2016-09-08”),1.292,1.29],[new Date(“2016-09-09”),1.304,1.30],[new Date(“2016-09-10”),1.304,1.30],[new Date(“2016-09-11”),1.305,1.30],[new Date(“2016-09-12”),1.303,1.30],[new Date(“2016-09-13”),1.316,1.32],[new Date(“2016-09-14”),1.320,1.32],[new Date(“2016-09-15”),1.316,1.32],[new Date(“2016-09-16”),1.321,1.32],[new Date(“2016-09-17”),1.321,1.32],[new Date(“2016-09-18”),1.320,1.32],[new Date(“2016-09-19”),1.320,1.32],[new Date(“2016-09-20”),1.318,1.32],[new Date(“2016-09-21”),1.308,1.31],[new Date(“2016-09-22”),1.305,1.30],[new Date(“2016-09-23”),1.316,1.32],[new Date(“2016-09-24”),1.316,1.32],[new Date(“2016-09-25”),1.315,1.32],[new Date(“2016-09-26”),1.323,1.32],[new Date(“2016-09-27”),1.320,1.32],[new Date(“2016-09-28”),1.306,1.31],[new Date(“2016-09-29”),1.315,1.32],[new Date(“2016-09-30″),1.313,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2016

01      1.3124
02      1.3105
↗0.002, 0.14%
03      1.3070
↗0.004, 0.27%
04      1.3016
↗0.005, 0.41%
05      1.3184
↘0.017, 1.29%
06      1.3184
→0.000, 0.00%
07      1.3182
↗0.000, 0.02%
08      1.3156
↗0.003, 0.20%
09      1.3118
↗0.004, 0.29%
10      1.3057
↗0.006, 0.46%
11      1.2985
↗0.007, 0.55%
12      1.2954
↗0.003, 0.24%
13      1.2954
→0.000, 0.00%
14      1.2959
↘0.001, 0.04%
15      1.2928
↗0.003, 0.24%
16      1.2863
↗0.007, 0.50%
17      1.2845
↗0.002, 0.14%
18      1.2776
↗0.007, 0.53%
19      1.2850
↘0.007, 0.58%
20      1.2850
→0.000, 0.00%
21      1.2893
↘0.004, 0.33%
22      1.2939
↘0.005, 0.36%
23      1.2920
↗0.002, 0.15%
24      1.2932
↘0.001, 0.09%
25      1.2913
↗0.002, 0.14%
26      1.2985
↘0.007, 0.56%
27      1.2985
→0.000, 0.00%
28      1.3015
↘0.003, 0.23%
29      1.3011
↗0.000, 0.03%
30      1.3088
↘0.008, 0.59%
31      1.3110
↘0.002, 0.17%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),1.312,1.31],[new Date(“2016-08-02”),1.310,1.31],[new Date(“2016-08-03”),1.307,1.31],[new Date(“2016-08-04”),1.302,1.30],[new Date(“2016-08-05”),1.318,1.32],[new Date(“2016-08-06”),1.318,1.32],[new Date(“2016-08-07”),1.318,1.32],[new Date(“2016-08-08”),1.316,1.32],[new Date(“2016-08-09”),1.312,1.31],[new Date(“2016-08-10”),1.306,1.31],[new Date(“2016-08-11”),1.298,1.30],[new Date(“2016-08-12”),1.295,1.30],[new Date(“2016-08-13”),1.295,1.30],[new Date(“2016-08-14”),1.296,1.30],[new Date(“2016-08-15”),1.293,1.29],[new Date(“2016-08-16”),1.286,1.29],[new Date(“2016-08-17”),1.284,1.28],[new Date(“2016-08-18”),1.278,1.28],[new Date(“2016-08-19”),1.285,1.29],[new Date(“2016-08-20”),1.285,1.29],[new Date(“2016-08-21”),1.289,1.29],[new Date(“2016-08-22”),1.294,1.29],[new Date(“2016-08-23”),1.292,1.29],[new Date(“2016-08-24”),1.293,1.29],[new Date(“2016-08-25”),1.291,1.29],[new Date(“2016-08-26”),1.299,1.30],[new Date(“2016-08-27”),1.299,1.30],[new Date(“2016-08-28”),1.301,1.30],[new Date(“2016-08-29”),1.301,1.30],[new Date(“2016-08-30”),1.309,1.31],[new Date(“2016-08-31″),1.311,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2016

01      1.2921
02      1.2916
↗0.000, 0.04%
03      1.2914
↗0.000, 0.02%
04      1.2865
↗0.005, 0.38%
05      1.2969
↘0.010, 0.81%
06      1.2952
↗0.002, 0.13%
07      1.3005
↘0.005, 0.41%
08      1.3025
↘0.002, 0.15%
09      1.3038
↘0.001, 0.10%
10      1.3047
↘0.001, 0.07%
11      1.3099
↘0.005, 0.40%
12      1.3045
↗0.005, 0.41%
13      1.2999
↗0.005, 0.35%
14      1.2931
↗0.007, 0.52%
15      1.2965
↘0.003, 0.26%
16      1.2965
→0.000, 0.00%
17      1.2959
↗0.001, 0.05%
18      1.2959
↘0.000, 0.00%
19      1.3027
↘0.007, 0.52%
20      1.3069
↘0.004, 0.32%
21      1.3074
↘0.001, 0.04%
22      1.3122
↘0.005, 0.37%
23      1.3122
→0.000, 0.00%
24      1.3136
↘0.001, 0.11%
25      1.3223
↘0.009, 0.66%
26      1.3175
↗0.005, 0.36%
27      1.3136
↗0.004, 0.30%
28      1.3152
↘0.002, 0.12%
29      1.3027
↗0.012, 0.95%
30      1.3027
→0.000, 0.00%
31      1.3059
↘0.003, 0.24%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),1.292,1.29],[new Date(“2016-07-02”),1.292,1.29],[new Date(“2016-07-03”),1.291,1.29],[new Date(“2016-07-04”),1.286,1.29],[new Date(“2016-07-05”),1.297,1.30],[new Date(“2016-07-06”),1.295,1.30],[new Date(“2016-07-07”),1.301,1.30],[new Date(“2016-07-08”),1.303,1.30],[new Date(“2016-07-09”),1.304,1.30],[new Date(“2016-07-10”),1.305,1.30],[new Date(“2016-07-11”),1.310,1.31],[new Date(“2016-07-12”),1.305,1.30],[new Date(“2016-07-13”),1.300,1.30],[new Date(“2016-07-14”),1.293,1.29],[new Date(“2016-07-15”),1.297,1.30],[new Date(“2016-07-16”),1.297,1.30],[new Date(“2016-07-17”),1.296,1.30],[new Date(“2016-07-18”),1.296,1.30],[new Date(“2016-07-19”),1.303,1.30],[new Date(“2016-07-20”),1.307,1.31],[new Date(“2016-07-21”),1.307,1.31],[new Date(“2016-07-22”),1.312,1.31],[new Date(“2016-07-23”),1.312,1.31],[new Date(“2016-07-24”),1.314,1.31],[new Date(“2016-07-25”),1.322,1.32],[new Date(“2016-07-26”),1.318,1.32],[new Date(“2016-07-27”),1.314,1.31],[new Date(“2016-07-28”),1.315,1.32],[new Date(“2016-07-29”),1.303,1.30],[new Date(“2016-07-30”),1.303,1.30],[new Date(“2016-07-31″),1.306,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2016

01      1.3077
02      1.3098
↘0.002, 0.16%
03      1.2969
↗0.013, 0.98%
04      1.2960
↗0.001, 0.07%
05      1.2942
↗0.002, 0.13%
06      1.2847
↗0.010, 0.74%
07      1.2788
↗0.006, 0.46%
08      1.2713
↗0.007, 0.58%
09      1.2723
↘0.001, 0.08%
10      1.2766
↘0.004, 0.34%
11      1.2772
↘0.001, 0.04%
12      1.2779
↘0.001, 0.05%
13      1.2812
↘0.003, 0.26%
14      1.2851
↘0.004, 0.30%
15      1.2896
↘0.005, 0.36%
16      1.2939
↘0.004, 0.33%
17      1.2908
↗0.003, 0.24%
18      1.2897
↗0.001, 0.08%
19      1.2859
↗0.004, 0.30%
20      1.2819
↗0.004, 0.31%
21      1.2810
↗0.001, 0.07%
22      1.2806
↗0.000, 0.03%
23      1.2774
↗0.003, 0.25%
24      1.2959
↘0.018, 1.45%
25      1.2993
↘0.003, 0.27%
26      1.3027
↘0.003, 0.26%
27      1.3061
↘0.003, 0.26%
28      1.3031
↗0.003, 0.23%
29      1.2965
↗0.007, 0.51%
30      1.2958
↗0.001, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),1.308,1.31],[new Date(“2016-06-02”),1.310,1.31],[new Date(“2016-06-03”),1.297,1.30],[new Date(“2016-06-04”),1.296,1.30],[new Date(“2016-06-05”),1.294,1.29],[new Date(“2016-06-06”),1.285,1.28],[new Date(“2016-06-07”),1.279,1.28],[new Date(“2016-06-08”),1.271,1.27],[new Date(“2016-06-09”),1.272,1.27],[new Date(“2016-06-10”),1.277,1.28],[new Date(“2016-06-11”),1.277,1.28],[new Date(“2016-06-12”),1.278,1.28],[new Date(“2016-06-13”),1.281,1.28],[new Date(“2016-06-14”),1.285,1.29],[new Date(“2016-06-15”),1.290,1.29],[new Date(“2016-06-16”),1.294,1.29],[new Date(“2016-06-17”),1.291,1.29],[new Date(“2016-06-18”),1.290,1.29],[new Date(“2016-06-19”),1.286,1.29],[new Date(“2016-06-20”),1.282,1.28],[new Date(“2016-06-21”),1.281,1.28],[new Date(“2016-06-22”),1.281,1.28],[new Date(“2016-06-23”),1.277,1.28],[new Date(“2016-06-24”),1.296,1.30],[new Date(“2016-06-25”),1.299,1.30],[new Date(“2016-06-26”),1.303,1.30],[new Date(“2016-06-27”),1.306,1.31],[new Date(“2016-06-28”),1.303,1.30],[new Date(“2016-06-29”),1.297,1.30],[new Date(“2016-06-30″),1.296,1.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      1.2554
02      1.2533
↗0.002, 0.16%
03      1.2676
↘0.014, 1.14%
04      1.2806
↘0.013, 1.02%
05      1.2842
↘0.004, 0.29%
06      1.2896
↘0.005, 0.42%
07      1.2904
↘0.001, 0.06%
08      1.2922
↘0.002, 0.14%
09      1.2948
↘0.003, 0.20%
10      1.2920
↗0.003, 0.22%
11      1.2876
↗0.004, 0.34%
12      1.2854
↗0.002, 0.17%
13      1.2920
↘0.007, 0.52%
14      1.2928
↘0.001, 0.06%
15      1.2949
↘0.002, 0.16%
16      1.2913
↗0.004, 0.28%
17      1.2921
↘0.001, 0.06%
18      1.2985
↘0.006, 0.49%
19      1.3030
↘0.004, 0.35%
20      1.3107
↘0.008, 0.59%
21      1.3112
↘0.001, 0.04%
22      1.3117
↘0.001, 0.04%
23      1.3136
↘0.002, 0.14%
24      1.3128
↗0.001, 0.06%
25      1.3055
↗0.007, 0.56%
26      1.3003
↗0.005, 0.40%
27      1.3016
↘0.001, 0.10%
28      1.3022
↘0.001, 0.05%
29      1.3045
↘0.002, 0.17%
30      1.3048
↘0.000, 0.02%
31      1.3081
↘0.003, 0.26%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),1.255,1.26],[new Date(“2016-05-02”),1.253,1.25],[new Date(“2016-05-03”),1.268,1.27],[new Date(“2016-05-04”),1.281,1.28],[new Date(“2016-05-05”),1.284,1.28],[new Date(“2016-05-06”),1.290,1.29],[new Date(“2016-05-07”),1.290,1.29],[new Date(“2016-05-08”),1.292,1.29],[new Date(“2016-05-09”),1.295,1.29],[new Date(“2016-05-10”),1.292,1.29],[new Date(“2016-05-11”),1.288,1.29],[new Date(“2016-05-12”),1.285,1.29],[new Date(“2016-05-13”),1.292,1.29],[new Date(“2016-05-14”),1.293,1.29],[new Date(“2016-05-15”),1.295,1.29],[new Date(“2016-05-16”),1.291,1.29],[new Date(“2016-05-17”),1.292,1.29],[new Date(“2016-05-18”),1.298,1.30],[new Date(“2016-05-19”),1.303,1.30],[new Date(“2016-05-20”),1.311,1.31],[new Date(“2016-05-21”),1.311,1.31],[new Date(“2016-05-22”),1.312,1.31],[new Date(“2016-05-23”),1.314,1.31],[new Date(“2016-05-24”),1.313,1.31],[new Date(“2016-05-25”),1.306,1.31],[new Date(“2016-05-26”),1.300,1.30],[new Date(“2016-05-27”),1.302,1.30],[new Date(“2016-05-28”),1.302,1.30],[new Date(“2016-05-29”),1.304,1.30],[new Date(“2016-05-30”),1.305,1.30],[new Date(“2016-05-31″),1.308,1.31],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      1.3003
02      1.3015
↘0.001, 0.10%
03      1.3031
↘0.002, 0.12%
04      1.3063
↘0.003, 0.24%
05      1.3122
↘0.006, 0.45%
06      1.3102
↗0.002, 0.15%
07      1.3147
↘0.005, 0.34%
08      1.3011
↗0.014, 1.04%
09      1.3004
↗0.001, 0.05%
10      1.2986
↗0.002, 0.14%
11      1.2923
↗0.006, 0.49%
12      1.2810
↗0.011, 0.87%
13      1.2822
↘0.001, 0.09%
14      1.2837
↘0.001, 0.12%
15      1.2823
↗0.001, 0.11%
16      1.2822
↗0.000, 0.00%
17      1.2935
↘0.011, 0.88%
18      1.2799
↗0.014, 1.05%
19      1.2728
↗0.007, 0.55%
20      1.2669
↗0.006, 0.46%
21      1.2718
↘0.005, 0.39%
22      1.2672
↗0.005, 0.36%
23      1.2679
↘0.001, 0.05%
24      1.2665
↗0.001, 0.11%
25      1.2678
↘0.001, 0.10%
26      1.2622
↗0.006, 0.45%
27      1.2603
↗0.002, 0.15%
28      1.2563
↗0.004, 0.31%
29      1.2557
↗0.001, 0.05%
30      1.2550
↗0.001, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),1.300,1.30],[new Date(“2016-04-02”),1.302,1.30],[new Date(“2016-04-03”),1.303,1.30],[new Date(“2016-04-04”),1.306,1.31],[new Date(“2016-04-05”),1.312,1.31],[new Date(“2016-04-06”),1.310,1.31],[new Date(“2016-04-07”),1.315,1.31],[new Date(“2016-04-08”),1.301,1.30],[new Date(“2016-04-09”),1.300,1.30],[new Date(“2016-04-10”),1.299,1.30],[new Date(“2016-04-11”),1.292,1.29],[new Date(“2016-04-12”),1.281,1.28],[new Date(“2016-04-13”),1.282,1.28],[new Date(“2016-04-14”),1.284,1.28],[new Date(“2016-04-15”),1.282,1.28],[new Date(“2016-04-16”),1.282,1.28],[new Date(“2016-04-17”),1.293,1.29],[new Date(“2016-04-18”),1.280,1.28],[new Date(“2016-04-19”),1.273,1.27],[new Date(“2016-04-20”),1.267,1.27],[new Date(“2016-04-21”),1.272,1.27],[new Date(“2016-04-22”),1.267,1.27],[new Date(“2016-04-23”),1.268,1.27],[new Date(“2016-04-24”),1.267,1.27],[new Date(“2016-04-25”),1.268,1.27],[new Date(“2016-04-26”),1.262,1.26],[new Date(“2016-04-27”),1.260,1.26],[new Date(“2016-04-28”),1.256,1.26],[new Date(“2016-04-29”),1.256,1.26],[new Date(“2016-04-30″),1.255,1.26],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      1.3440
02      1.3441
↘0.000, 0.01%
03      1.3417
↗0.002, 0.18%
04      1.3336
↗0.008, 0.60%
05      1.3332
↗0.000, 0.03%
06      1.3330
↗0.000, 0.02%
07      1.3292
↗0.004, 0.29%
08      1.3398
↘0.011, 0.80%
09      1.3269
↗0.013, 0.97%
10      1.3346
↘0.008, 0.58%
11      1.3227
↗0.012, 0.89%
12      1.3224
↗0.000, 0.03%
13      1.3236
↘0.001, 0.09%
14      1.3257
↘0.002, 0.16%
15      1.3332
↘0.008, 0.57%
16      1.3167
↗0.016, 1.24%
17      1.3060
↗0.011, 0.81%
18      1.3014
↗0.005, 0.35%
19      1.3004
↗0.001, 0.08%
20      1.3023
↘0.002, 0.15%
21      1.3076
↘0.005, 0.41%
22      1.3046
↗0.003, 0.23%
23      1.3183
↘0.014, 1.05%
24      1.3217
↘0.003, 0.26%
25      1.3264
↘0.005, 0.36%
26      1.3266
↘0.000, 0.01%
27      1.3270
↘0.000, 0.03%
28      1.3199
↗0.007, 0.53%
29      1.3100
↗0.010, 0.75%
30      1.3007
↗0.009, 0.71%
31      1.2992
↗0.002, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),1.344,1.34],[new Date(“2016-03-02”),1.344,1.34],[new Date(“2016-03-03”),1.342,1.34],[new Date(“2016-03-04”),1.334,1.33],[new Date(“2016-03-05”),1.333,1.33],[new Date(“2016-03-06”),1.333,1.33],[new Date(“2016-03-07”),1.329,1.33],[new Date(“2016-03-08”),1.340,1.34],[new Date(“2016-03-09”),1.327,1.33],[new Date(“2016-03-10”),1.335,1.33],[new Date(“2016-03-11”),1.323,1.32],[new Date(“2016-03-12”),1.322,1.32],[new Date(“2016-03-13”),1.324,1.32],[new Date(“2016-03-14”),1.326,1.33],[new Date(“2016-03-15”),1.333,1.33],[new Date(“2016-03-16”),1.317,1.32],[new Date(“2016-03-17”),1.306,1.31],[new Date(“2016-03-18”),1.301,1.30],[new Date(“2016-03-19”),1.300,1.30],[new Date(“2016-03-20”),1.302,1.30],[new Date(“2016-03-21”),1.308,1.31],[new Date(“2016-03-22”),1.305,1.30],[new Date(“2016-03-23”),1.318,1.32],[new Date(“2016-03-24”),1.322,1.32],[new Date(“2016-03-25”),1.326,1.33],[new Date(“2016-03-26”),1.327,1.33],[new Date(“2016-03-27”),1.327,1.33],[new Date(“2016-03-28”),1.320,1.32],[new Date(“2016-03-29”),1.310,1.31],[new Date(“2016-03-30”),1.301,1.30],[new Date(“2016-03-31″),1.299,1.30],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      1.3953
02      1.4042
↘0.009, 0.64%
03      1.3830
↗0.021, 1.51%
04      1.3800
↗0.003, 0.22%
05      1.3880
↘0.008, 0.58%
06      1.3888
↘0.001, 0.06%
07      1.3900
↘0.001, 0.08%
08      1.3927
↘0.003, 0.20%
09      1.3880
↗0.005, 0.34%
10      1.3923
↘0.004, 0.31%
11      1.3917
↗0.001, 0.04%
12      1.3869
↗0.005, 0.34%
13      1.3860
↗0.001, 0.07%
14      1.3857
↗0.000, 0.02%
15      1.3840
↗0.002, 0.12%
16      1.3865
↘0.002, 0.18%
17      1.3704
↗0.016, 1.16%
18      1.3747
↘0.004, 0.31%
19      1.3753
↘0.001, 0.04%
20      1.3767
↘0.001, 0.10%
21      1.3780
↘0.001, 0.09%
22      1.3716
↗0.006, 0.46%
23      1.3779
↘0.006, 0.46%
24      1.3709
↗0.007, 0.51%
25      1.3590
↗0.012, 0.87%
26      1.3543
↗0.005, 0.34%
27      1.3518
↗0.003, 0.19%
28      1.3524
↘0.001, 0.04%
29      1.3533
↘0.001, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),1.395,1.40],[new Date(“2016-02-02”),1.404,1.40],[new Date(“2016-02-03”),1.383,1.38],[new Date(“2016-02-04”),1.380,1.38],[new Date(“2016-02-05”),1.388,1.39],[new Date(“2016-02-06”),1.389,1.39],[new Date(“2016-02-07”),1.390,1.39],[new Date(“2016-02-08”),1.393,1.39],[new Date(“2016-02-09”),1.388,1.39],[new Date(“2016-02-10”),1.392,1.39],[new Date(“2016-02-11”),1.392,1.39],[new Date(“2016-02-12”),1.387,1.39],[new Date(“2016-02-13”),1.386,1.39],[new Date(“2016-02-14”),1.386,1.39],[new Date(“2016-02-15”),1.384,1.38],[new Date(“2016-02-16”),1.386,1.39],[new Date(“2016-02-17”),1.370,1.37],[new Date(“2016-02-18”),1.375,1.37],[new Date(“2016-02-19”),1.375,1.38],[new Date(“2016-02-20”),1.377,1.38],[new Date(“2016-02-21”),1.378,1.38],[new Date(“2016-02-22”),1.372,1.37],[new Date(“2016-02-23”),1.378,1.38],[new Date(“2016-02-24”),1.371,1.37],[new Date(“2016-02-25”),1.359,1.36],[new Date(“2016-02-26”),1.354,1.35],[new Date(“2016-02-27”),1.352,1.35],[new Date(“2016-02-28”),1.352,1.35],[new Date(“2016-02-29″),1.353,1.35],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      1.3872
02      1.3846
↗0.003, 0.19%
03      1.3841
↗0.000, 0.03%
04      1.3919
↘0.008, 0.56%
05      1.3970
↘0.005, 0.37%
06      1.4052
↘0.008, 0.58%
07      1.4103
↘0.005, 0.37%
08      1.4158
↘0.005, 0.39%
09      1.4159
↘0.000, 0.01%
10      1.4178
↘0.002, 0.14%
11      1.4206
↘0.003, 0.20%
12      1.4247
↘0.004, 0.29%
13      1.4327
↘0.008, 0.56%
14      1.4338
↘0.001, 0.08%
15      1.4504
↘0.017, 1.16%
16      1.4521
↘0.002, 0.12%
17      1.4572
↘0.005, 0.35%
18      1.4552
↗0.002, 0.14%
19      1.4571
↘0.002, 0.13%
20      1.4506
↗0.006, 0.44%
21      1.4340
↗0.017, 1.15%
22      1.4200
↗0.014, 0.98%
23      1.4145
↗0.005, 0.38%
24      1.4138
↗0.001, 0.05%
25      1.4255
↘0.012, 0.83%
26      1.4137
↗0.012, 0.83%
27      1.4124
↗0.001, 0.09%
28      1.4052
↗0.007, 0.51%
29      1.3998
↗0.005, 0.38%
30      1.3989
↗0.001, 0.07%
31      1.3980
↗0.001, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),1.387,1.39],[new Date(“2016-01-02”),1.385,1.38],[new Date(“2016-01-03”),1.384,1.38],[new Date(“2016-01-04”),1.392,1.39],[new Date(“2016-01-05”),1.397,1.40],[new Date(“2016-01-06”),1.405,1.41],[new Date(“2016-01-07”),1.410,1.41],[new Date(“2016-01-08”),1.416,1.42],[new Date(“2016-01-09”),1.416,1.42],[new Date(“2016-01-10”),1.418,1.42],[new Date(“2016-01-11”),1.421,1.42],[new Date(“2016-01-12”),1.425,1.42],[new Date(“2016-01-13”),1.433,1.43],[new Date(“2016-01-14”),1.434,1.43],[new Date(“2016-01-15”),1.450,1.45],[new Date(“2016-01-16”),1.452,1.45],[new Date(“2016-01-17”),1.457,1.46],[new Date(“2016-01-18”),1.455,1.46],[new Date(“2016-01-19”),1.457,1.46],[new Date(“2016-01-20”),1.451,1.45],[new Date(“2016-01-21”),1.434,1.43],[new Date(“2016-01-22”),1.420,1.42],[new Date(“2016-01-23”),1.415,1.41],[new Date(“2016-01-24”),1.414,1.41],[new Date(“2016-01-25”),1.425,1.43],[new Date(“2016-01-26”),1.414,1.41],[new Date(“2016-01-27”),1.412,1.41],[new Date(“2016-01-28”),1.405,1.41],[new Date(“2016-01-29”),1.400,1.40],[new Date(“2016-01-30”),1.399,1.40],[new Date(“2016-01-31″),1.398,1.40],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}